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Reframing 70:20:10, The Anatomy of Workflow Learning

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Reframing 70:20:10, The Anatomy of Workflow Learning

As a designer of 70:20:10 influenced solutions, I’ve found myself increasingly using the concept of ‘workflow learning’ to inspire, explain, and frame my approach.

It’s a framework I now implicitly refer to during the design thinking co-design process I use and has shaped the sorts of blends, campaigns, and ecosystems that are generated from that process. I’ve captured the essential elements of this model in the following diagram.

Workflow learning begins and is framed by the dynamic interplay between behaviour and mindset.

Or, as I’ve described it in the diagram, it places experience at the heart of the model and prioritises its interplay with a conscious process of reflection that bounds it. That’s worth emphasising because, in my opinion, the relationship between experience and reflection is the key driver of learning and change. Everything else, from training, performance support, to social learning, supports and scaffolds that key relationship.

Let’s dive in to see what this means for each element, starting with the two most important ones of experience and reflection.

EXPERIENCE – PUSHING YOUR COMFORT ZONE

Experience, based on behaviour and context, is the starting point and heart of workflow learning. It’s the primary anchor and the prism through which other elements are viewed by.

This starting point is an acknowledgement that work is learning. Further, it’s understanding that most learning happens when we are at the edge of our comfort zone, embarking on stretch projects where new challenges demand new mindsets and behaviours.

As long as the stretched comfort zone doesn’t snap, the result is an increase of capability and an expanded comfort zone moving forward.

I still find Mihaly Csikszentmihalyi’s Flow model to be a useful point of reference in striving for that zone of engagement, that lies between chasms of anxiety and boredom.

Structured action learning projects and stretch assignments can support engaging experiences, but it’s ultimately about the approach of the individual and organisation. Real gains require a personal growth mindset, where the individual is motivated and curious to experiment and improve, supported by an organisational culture which embraces failure as an intrinsic part of innovation and growth.

REFLECTION – TO TRANSFORM MINDSET & MENTAL MODELS

John Dewey famously pointed out that “we do not learn from experience… we learn from reflecting on experience.”

Without a reflective process, the experience that lies at the centre of this model would be relegated to being ‘stuff that happens’. I believe that reflective learning should focus on two elements:

  • Mindset, or the underlying attitude and perspective that lies behind and informs behaviour
  • Mental models, the conceptual frameworks and high-level linkages that are made between various experiences and elements

Stanford University’s Carol Dweck’s work on fixed and growth mindset has popularised the impact of mindset. Her research points to mindset developing through childhood experiences and environment and notes that it can be actively developed, even as adults.

The process of listening to ones ‘internal voice’, which is representative of mindset, and positively engaging with and redirecting that voice, requires a deliberate and sustained reflective process (not to mention buckets of patience and self-compassion).

Similarly, reflecting on experiences with the view of challenging one’s mental models, is a crucial part of learning and unlearning. This process might start with basic questions about recent experiences such as ‘what did I do, what would I do differently, and what are my takeaways’ and can lead to fundamental questions to reconcile one’s world view with the constant reality check of experience.

Over time, such an open reflective process might call into question things we assumed to be true, as old and new mental models fight for their place in our minds. In such cases, the process of unlearning and letting go of redundant mental models, is just as important as developing new models moving forward.

My last word on this is that, in my experience, an effective reflective practice is inherently linked to a culture of investigation and research. There’s a place for regularly and mindfully asking reflective questions as one stares out the window but the process of diving into the web, pulling in resources, and creating mini-experiments to explore and validate ideas can also be crucial to support change.

FORMAL TRAINING: THROUGH AN EXPERIENTIAL FOCUS

Formal training is by no means the most important factor that lies between mindset and behaviour, but I’ve placed it at the top of the diagram because it’s the entry point for most L&D professionals.

As I keep emphasising, I believe that experience combined with a reflective process is the gold mine of learning and change. In that context, at its most extreme, training can be viewed as an inadequate but practical substitute for real experience. It also helps to define three high priority points of training focus:

  • Scenarios: to provide safe and supported (simulated) experiential learning
  • Case studies: to provide narratives and engagement points from other people’s experiential learning
  • Key concepts: to provide new mental models and frameworks to incorporate into the reflective process

When faced with a challenge where, for whatever reason, I’m limited in how I can draw on the 70 and 20, my internal voice runs something like this: ‘ideally they’d develop this skill through real life experience and reflection but, since that’s not on the cards, how can I best support them to do it in this training intervention?’

That leads to training that is focused on scenarios and role plays which place the learner in simulated, contextualised, and authentic challenges. This might take a multitude of forms including a written scenario that is debated via a discussion forum, a branched elearning module, role plays in a face to face workshop, right through to an immersive VR driven simulation.

The next level of engagement along that ‘experiential obsessed’ paradigm, is case studies. Using narrative to explore real life challenges helps engagement by establishing real world relevance. Such case studies will ideally include moments in the narrative to actively engage with learners, asking what would they do in that situation and how it relates to their own experience, supporting both reflection and context-based application.

On a slightly different tangent, training can help shed light on key concepts and mental models which inform the reflective process and supports a deliberate approach to learning and unlearning. This is particularly important for experienced practitioners and experts who have developed intrinsic understanding and abilities but might lack a ‘balcony view’ of what and how they are doing, and therefore how they might improve.

I’ve found that key concepts are often best introduced via infographics, short and punchy written pieces, or motion graphic explainer videos. Metaphors and narratives can help create context and make them easily digestible. Simple, visual, and quick tend to be my catch calls here.

It helps to design them with the view that they will be given context in an experience/ coaching interaction/ just in time moment, rather than viewing them as stand alone items which require mountains of context and background.

Finally, although I haven’t noted it in the diagram, another role of training is to support engagement in a change process. Campaign styled assets capturing key WIIFM (What’s in it for me) messaging around learning and performance objectives, helps support that ever crucial buy-in from the learner. After all, whether someone learns and changes is ultimately their decision.

SOCIAL LEARNING IN THE WORKFLOW

With a focus on experiential, social learning can be posed as ‘how can people, teams, and communities support this person to reach the required outcome in the workflow?’ That means the most effective social learning is inherently performance focused and collaborative.

Coaches play a crucial role in the midst of experience, both in supporting a solution-seeking mindset to challenges and embedding a personal reflective culture. Mentors, like case studies in formal training, can provide inspiration and narratives that can be learnt from and applied to new contexts.

Beyond that, diverse teams, who bring a variety of mental models and mindsets to the table, contribute to developing self-awareness and that ‘deliberation’ I keep harking on about. In other words, collaboration with contrasting approaches and attitudes can help bring awareness to and refine one’s own mental models, mindset and behaviours.

Of course, it’s all encompassed by working out loud. Far from an optional extra, WOL helps to reveal workflows and provides greater opportunities for social and collaborative input. The internal process of consciously sharing and engaging with peers and communities also supports reflection and growth.

PERFORMANCE SUPPORT, LEARN LESS & DO MORE

Last but definitely not least, comes performance support, perhaps the most powerful yet ignored tools in our arsenal.

I often half-jokingly explain that the role of L&D should be to kill knowledge. A bit provocative, because what I’m really striving for is to reduce cognitive load and stop weighing down people with facts and information, so their minds can be freed up for the important stuff of thinking, creating, and problem-solving.

In a world where a kid with a smart phone can out fact a Mensa convention, why wouldn’t we use the tools around us to minimise redundant learning and support people to use shortcuts, tech, and systems to reach their performance outcomes.

The comic I created a year ago still captures this better than I can put in words alone:

Performance support might come in the form of simple yet powerful checklists (if you doubt the powerful aspect, check out the Checklist Manifesto), micro learning styled videos to support just in time and just enough learning, or an intuitive Knowledge Management System (KMS) that presents knowledge totally integrated into the workflow.

LAST WORDS: WORKFLOW LEARNING & 70:20:10

In a perfect world we wouldn’t need to categorise and compartmentalise learning elements because it’s ultimately all bound together and entwined in a complex mesh.

That said, from an industry perspective, learning professionals have commoditised and deliver formal training to the near exclusion of all else. In that context, I do believe 70:20:10 is more relevant now than ever.

Workflow learning, as I’ve described it, is not a break from 70:20:10, rather it’s another way to support much-needed realignment within L&D that was best captured byCharles Jennings when he challenged us to: “Start with 70 and plan for the 100.”

The model I’ve outlined simply helps me to focus on experience first and approach everything else (formal, social, support) through that prism. I share it here, in the hope that others find it useful and that, through the discussion that might follow, it can be improved.

Udacity Restructuring Leads to Massive Layoffs

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Udacity Restructuring Leads to Massive Layoffs

Disclosure: To support our site, Class Central may be compensated by some course providers.

November 29, 2018

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In my review of Udacity’s 2017, I noted that the company went truly global and was launching a number of region-specific initiatives. However, based on recent events, it seems as if Udacity is scaling back its global ambitions.

A couple of months ago we learned that Udacity laid off around 5% of its workforce (or around 25 employees) mostly from its Germany office. Now Udacity has announced plans to restructure the company and layoff 125 employees by early 2019.

According to VentureBeat, the company will lay off half the employees in its office in São Paulo, Brazil (70 employees). The remaining cuts will come from departments in the United States related to creating Udacity courses. This will bring the Udacity headcount down to 330 employees.

Early this year, Udactiy’s CEO Vishal Makhijaini unexpectedly quit and now Udacity co-founder Sebastian Thrun has taken over the day-to-day operations.

Udacity had a strong 2017, probably on the back of the wildly successful Self-Driving Car Nanodegree. Its revenue doubled to $70 million, up from $29 million in 2016.

In contrast, in 2018, none of the Nanodegrees launched by Udacity have really taken off. This combined with the lack of success in certain global markets might have led Udacity to increase its pricing for Nanodegrees (in some cases by 300%).  Udacity’s global revenues are on-track to grow 25% for the current year, which would put it just shy of $90 million.

According to VentureBeat, as part of this restructuring, Udacity plans to grow enterprise-focused offerings in places like India and consumer-focused operations in China and the Middle East.

Udacity Increases Prices for Nanodegrees

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Udacity Increases Prices for Nanodegrees

Disclosure: To support our site, Class Central may be compensated by some course providers.

November 20, 2018

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Udacity is known to constantly tweak its model for Nanodegrees. Earlier this year Class Central wrote about how Udacity is switching to term-based scheduling. Last year we reported on Udacity shutting down its job guarantee program as well as its half your money back guarantee.

Throughout 2018 it has also been increasing the prices of Nanodegrees. Let’s look at an example of its Machine Learning Nanodegree (MLND).

Originally MLND cost $199/month while taking 6 months to compete and came with a half your money back guarantee. If you stuck to the Udacity schedule, you could have potentially earned this Nanodegree for $600.

When Udacity pivoted to a term based schedule last year, the price for the Nanodegree shot up to $999 and needed to be to paid upfront. Now in 2018 MLND is split into two terms at a cost of $999 each. Effectively, the price of the Nanodegree has increased $300%.

Other Nanodegrees such as the Android and iOS offerings, have also gone through similar price increases. Here are a few more examples of price increases that happened in 2018.

AI Nanodegree: $599->$799 -> $999
Natural Language: $599 -> $799 -> $999
React Nanodegree : $499 -> $999
Google Adwords Nanodegree: $699 -> $999
Blockchain Developer: $999 -> $1998

You can see a complete list of Udacity’s Nanodegrees and it’s pricing in Class Central‘s pricing chart.

According to one comment on Reddit that I found, it also seems that Udacity has now started charging $100 for resume reviews, which used to be offered for free as part of the Nanodegree. This removed benefit effectively increases the cost of Nanodegrees even further.

Human Learning #42 – Augmentation rather than change for the MOOC platforms

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Human Learning #42 – Augmentation rather than change for the MOOC platforms

Disclosure: To support our site, Class Central may be compensated by some course providers.

November 19, 2018

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This fortnight’s edition focuses on the main MOOC providers. All have augmented their strategy rather than exacted any pivots. That’s a tad less interesting but as I allude in this week’s essay, these are the foundations for deeper structural disruption of Education.

Is Clayton Christensen right about Higher Education’s impending disruption? (spoiler – no) 🙂 

edX

  • edX join the degree party – The biggest news during my hiatus was the 9 Masters announced by edX with more to follow. Big players such as Georgia Institute of Tech (who ran the previous Masters on edX as a pilot) University of Queensland, Indiana University, Curtin University. Austin and San Diego all fronted up in the usual in-demand categories – Business, Finance, Data Science, Computer Science etc. For edX and Futurelearn – both of whom have a partnership-oriented model – online degrees have always been the direction of travel and for edX, in particular, it’s a logical extension of (1) their elite university strategy (overplayed but not insignificant) and (2) their Micromaster approach which moves towards their vision of the stackable degree – here
  • edX are experimenting with paywalls – fine, they need their B2C MOOC model to aid recruitment to their degrees and retain interest from Universities who don’t want to go down that path – here
  • Transferable record of learning – edX platform has touted this feature on the roadmap for a while – it’s meaningless if Universities don’t recognise what is being transferred but edX partners are probably ahead of the curve in doing so and this catalyses that. edX will hope it allows their MOOCs to be integrated into campus curricula  – here

Coursera

  • Coursera sign up Macquarie University Business School for an online MBA – They have 12 degrees now and 4 in Business (including MBAs from UIUC) . Isn’t cannibalisation a risk? Not really, the cohorts are still relatively small and like 2U, Coursera will want to develop operational economies of scale in lucrative verticals (Business, Computer Science, Data Science, Health etc) to optimise marketing and by extension student acquisition – a key USP vs their OPM competitors – here
  • Coursera for business launches skill diagnostic tool – the MOOC world can often seem a small race between a handful of providers but Coursera have long looked to Pluralsight as a competitor and this is straight out of their playbook. The tool assesses employees signed up to Coursera for Business across subject areas e.g. Programming, Data Science, Machine Learning and then benchmarks them against peers. Apart from a value add for companies (of whom Coursera now have 1400+) for whom L&D remains a permanent challenge it’s designed to drive demand for Coursera’s product, it’s a smart move – here
  • Coursera launch ‘La Tríada’ – course sharing among Tec de Monterrey, Universidad de Los Andes and Universidad Católica de Chile – Apparently Maggioncalda was told ‘collaboration is the future’, such a move mirrors edX’s star alliance of universities. I can’t see Coursera putting their backs into this. It aids with Latin America expansion (maybe) but isn’t route 1 to paying customers

Udacity

  • Student support 2.0– Udacity have launched their Student Hub. It’s more of an upgrade and centralisation on existing features – providing easier access to mentors (including per assignment) other students and other resources all of which they’ve found improves completion. Udacity – undoubtedly enable by a narrower curriculum and higher price point per student are doing the most to pioneer student support in a scalable way, others should take note – here

FutureLearn look to raise £40m to keep up with the competition – FutureLearn, wholly owned by the Open University are now looking to raise further investment with 8m learners and £8.2m in revenue for the last financial year. FutureLearn have outperformed relative to their far more modest investment compared with their peers (although they’ve likely benefited from more patient, less short-term profit focused partners) but they are behind the competition on key metrics such as users, courses and revenue – this it to catch up. FutureLearn aim to focus on paid courses and credit bearing graduate courses – here

Liberats Arts meets Bootcamp, cui bono? – Make School, a San Francisco based coding bootcamp has teamed up with Dominican university, the former provides the coding, the latter provides general education to make for a combined curriculum. For Dominican it was designed to arrest the slide in Liberal Arts enrolment in US education – as graduates fear they’ll be unemployable in the digital economy. It’s a variation of providers such as Trilogy who work with  Universities on campus to provide bootcamps (but external to the degree itself). Among the Silicon Valley cognoscenti, parts of the Humanities and Social Sciences are being looked at with renewed interest, many of the skills are increasingly being seen of high business value – ethnographers for understanding customer behaviour, literature for the importance of storytelling, Philosophers for strategy. That sounds promising, but will be the small colleges providing these courses – or will a Humanities major at Stanford – distil the valuable parts into a new humanities bootcamp for a digital economy? – here

As ever if you enjoy it SHARE IT! For the permanent home of these newsletter and articles GO HERE. If you have any thoughts please write back to me.

Human Learning is a newsletter written by Chris Fellingham. You can signup for it here and find other Edtech articles by Chris Fellingham on his medium page

Human Learning #41 – Of Language, Chatbots and Ethics

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Human Learning #41 – Of Language, Chatbots and Ethics

Disclosure: To support our site, Class Central may be compensated by some course providers.

November 14, 2018

5 minute read


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Welcome to issue #41, the two thrusts of which drill down on the tech of Edtech. The first part is my article on Duolingo, which argues MOOC platforms will find it difficult in some key areas to compete with specialised platforms who develop technology that caters to their subject area. The second is on chatbots, arguably one of the areas where MOOC platforms could be innovating. The key advantage of chatbots is improving user experience (instant answers) in turn improving retention and reducing the rerun cost of a MOOC as staff time is reduced.

Top Story

Coursera launch Online Masters in Computer Science and Information Technology – Key points – the Masters is from University of Pennsylvania (i.e. Ivy League) and has no prerequisites, making it unique among Ivy League Masters in Computer Science. The course will cost $23,600 (a third of the on campus price) and is partially self-paced taking 20-40 months to complete, the first cohort will be 100 people in January. Coursera now have 10 degrees (mostly Masters) making for a formidable competitor to 2U. As I’ve mentioned previously Coursera’s advantages should be a lower cost of acquisition (they recruit just over half their graduates from the MOOC platform). A key question is how they structure the deals – 2U make a typical OPM upfront investment which they recoup back via ⅔ revenue share over a 10 year contract, which universities are hesitant to enter. If Coursera offer something more versatile and can leverage their existing relationships that should make them a more compelling option than 2U. – here and here 

State of the MOOCS

Israeli Government launches its own MOOC platform – The platform will be built off Open edX #brutalist.  The platform will be in Hebrew and Arabic, the former is a first with MOOC participating Israeli universities currently publishing in English – here

Edtech’s Business 

Skillshare raises $28m($42m to date) as it seeks profitability – The platform has 22K clases and works via a subscription model of $15 per month of $99 a year.  As the name suggests it puts students and teachers together for online courses – originally it aimed to allow them to coordinate for in-person classes. It has 5m users and 6K classes. Skillshare will use the money to drive product development and international expansion. Their ‘moat’ is not good, Udemy compete in this space and they can really only differentiate on product or on the deal they offer teachers  – here

Ed’s Tech

Imperial’s Edtech lab deploys chatbots to their MBA programme –  These work in a similar way to the Georgia Tech chatbots, they focus on FAQs and have a bank of previous Q&As (3K in total and expanded with each programme), using fuzzy matching the chatbot finds the closest answer and returns that to the student. At present this isn’t much more than a glorified FAQ but it’s iterating rapidly. Firstly FAQs alone can save the academics and support staff a lot of time that could be better spent elsewhere or reduce the operating labour cost of the MOOC. Secondly, if the student is asking an academic question e.g. ‘How does a price mechanism work?’ The bot can ask follow up questions to support understanding e.g. What are the factors that could affect the price mechanism demand/supply side – here 

Tangents

More Social Source Code

Whether they will be sufficient is yet to be decided but in both business and now in technology, ethics and social good are being given rising prominence. Featured in this newsletter previously was Larry Fink’s now famous letter. Larry Fink is CEO of Blackrock investment, the world’s largest investment fund ($6.3 trillion) Fink’s letter in effect said Blackrock would require companies it invested in to live up to social standards be they environmental, worker protection, taxes etc.

Although Fink has yet to define what those standards are and it could just be clever PR it could also represent a more structural shift in the way businesses operate. The dominant model prior to this was that governments and businesses operate antagonistically – businesses will seek to maximise the profit and governments will regulate the space they can do so (e.g. preventing environmental abuse, labour laws to protect employees rights etc).  Fink’s letter implies that now they expect companies to not simply operate to the limits set by government but to incorporate social goals into the DNA of the company itself. Fink’s letter was likely driven by a perceived failure of the government to sufficiently regulate company excesses in an era of Climate Change, the financial crisis and wealth inequality – issues which left unchecked could destabilise the global economic system – a sub-optimal outcome for all concerned.

What has any of this got to do with coding? As has been widely documented, coding (and specifically Silicon Valley) is going through its own moral crisis. Facebook, Google and Twitter have become critical infrastructure in society and their role in both Brexit but more acutely, Trump, has created a crisis of conscience in the valley with Facebook employees quitting over Cambridge Analytica and Google being forced to reconsider military contracts.

One Computer Science graduate at Stanford has taken this a step further and sought to bake social good into the education itself. Vicki Niu, a Stanford Computer Science graduate created CS + Social Good – an extracurricular club that discuss ethics and social projects for Computer Scientists. The club doesn’t just focus on using CS for social problems, they diversity in tech employment and management as well as ethical behaviour. The club is now a supplemental module as well as providing fellowships for Computer Scientists to do summer placements on social projects. It’s influence is spreading to Harvard, MIT and UC Berkeley among others – here

As ever if you enjoy it SHARE IT! For the permanent home of these newsletter and articles GO HERE. If you have any thoughts please write back to me.

Human Learning is a newsletter written by Chris Fellingham. You can signup for it here and find other Edtech articles by Chris Fellingham on his medium page

MOOCWatch 19: Coursera’s Revenue, Udacity’s CEO, and edX’s Master’s Degrees.

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MOOCWatch 19: Coursera’s Revenue, Udacity’s CEO, and edX’s Master’s Degrees.

The MOOC-based degrees trend continues, with edX announcing 7 new Master’s degrees, bringing the total on edX to 9. In a recent article, I explore five key ways MOOC-based degrees differ from traditional online degrees.

Class Central contributor Manoel, who has done his entire higher education online, shares his thoughts on 10 characteristics that could sway him toward one online degree over another.

Udacity is now looking for a new CEO, as Vishal Makhijani has stepped down.

According to Forbes, Coursera is estimated to make $140 million in 2018, a significant increase from Class Central’s 2017 estimate of $100 million.

FutureLearn, which made £8.2M in the last financial year, is now looking to raise £40m to invest in its online degrees.

Two conferences with submissions deadlines next week: Open edX 2019 (San Diego, March 26 – 29) and Future of Learning 2019 (Bangalore, Jan 4-5). More information below.

TOP STORIES

FREE ONLINE COURSES via Class Central
190 universities just launched 600 free online courses. Here’s the full list.

RESHAPING HIGHER EDUCATION via Class Central
According to Delft’s Willem van Valkenburg, MOOCs are already changing higher education in at least four important ways.

MASSIVE REVENUES via Class Central
According to Forbes, Coursera’s estimated revenue for 2018 is $140 million. Forbes also published a feature on Coursera.

NEW CEO via Class Central
Udacity’s CEO Vishal Makhijani has “has decided to move on to new challenges,” according to co-founder Sebastian Thrun.

MOOC-BASED DEGREES via Class Central

With the major MOOC platforms continuing to launch more new degree programs, I decided to compare these new programs with older online offerings. Turns out MOOC-based degrees are different in five key ways.

MORE ONLINE DEGREES via Class Central
In August, Class Central reported that edX had announced it would release 13 new online Master’s degrees. Last month, edX revealed 7 of those Master’s degrees.

OPEN EDX 2019
The Open edX 2019 conference takes place in March 26–29 at UC San Diego. Proposals are due by November 21, 2018.

FOL2019
The Future of Learning Conference (FoL) aims to foster a dialog between academics, entrepreneurs, regulators, and technologists.  The event will be held at IIM Bangalore on Jan 4th and 5th. The deadline to submit abstracts is November 20th.

MOOC PAYWALLS via Class Central
In May, edX announced that they will start testing a support fee. Class Central came across a few different experiments.

UNIVERSAL CREDIT SYSTEM via Class Central
Prolific MOOC-taker Ronny De Winter puts forward a credit system that could be applied to online as well as on-campus education.

MOOC MONETIZATION via Class Central
We explore five different sources of revenue for France Université Numerique (FUN) MOOC platform.

TAKE BETTER NOTES via Class Central
Serial MOOC-taker Pat Bowden shares her tips on how to take better notes.

ACQUISITION via EdSurge
Boston-based private equity firm Devonshire Investors has acquired NovoEd.  NovoEd, originally started as MOOC provider but pivoted to corporate training. More about how NovoEd started here:

The Stanford team behind Venture Lab, founds a company NovoEd to offer collaborative MOOCs

CO-CREATED DEGREES via Times Higher Education
Australia’s Deakin University and Coventry University in the UK are offering a postgraduate course in entrepreneurship on the FutureLearn platform. Fees for the course, which will take a minimum of one year to complete on a part-time basis, will be A$8,800 (£4,900).

MORE MONEY via Class Central
FutureLearn, which made £8.2M in the last financial year, is now looking to raise £40m to invest in its online degrees.

SECOND WIND via The Economic Times
Article in ET India on how MOOCs are faring in the country.

UDACITY LAYOFFS via Techcrunch
According to TC, Udacity has laid off 5% (atleast 25 employees) since August. According to Udacity, this was done for strategic reasons.

MOOCs ON CAMPUS via EdSurge
In certain universities like Duke and Michigan, on-campus students

SELF-DRIVING CARS via CIO
RMIT has partnered with Udacity to offer a course on self-driving cars.

MOOC MILESTONES

YIDAN PRIZE via MIT News
EdX CEO Anant Agarwal has been awarded the Yidan Prize. According to the official website, “Yidan Prize Laureate receives a gold medal and a total sum of HK$30 million (around US$3.9 million) including a cash prize of HK$15 million (around US$1.9 million) and a project fund of HK$15 million.”

LINKEDIN LEARNING via Techcrunch
LinkedIn Learning will now offer videos, tutorials and courses from third-parties such as Treehouse and the publishing division of Harvard Business School

MOOCWatch is a monthly digest of information related to MOOCs meant for professors and administrators, or others who are involved in education and want to stay up-to-date in the MOOC space. In addition to broad coverage, MOOCWatch also contains unique data sourced from Class Central (such as course popularity rankings). Subscribe to MOOCWatch here.

Why artificial Intelligence is shaping our world?

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We stand on the edge of a crucial moment in the history of our species – a time when a creation of our own inventiveness has the potential to change everything. For some, it will be humanity’s salvation, while for others, it could be our downfall. We are entering the age of artificial intelligence (AI).

While AI is still some way from the sentient machines portrayed in science fiction, the creation of algorithms that can learn, understand language and mimic some aspects of the human mind have led to huge advances. Today AI is being used in hundreds of different industries.

The machines we use on a daily basis are getting smarter, meaning that AI is no longer a futuristic technology but is increasingly integrated into every realm of our lives. From suggesting what books we might like to buy online to powering the virtual assistants that inhabit our phones and smart speakers, some of the applications are more visible than others. In truth, AI is touching our lives far more than many of us realise.

  • Banks are using it to detect fraud and predict changes in the stock markets
  • Insurance companies are employing AI to help them produce policy quotes and assess claims
  • It’s helping police forces to identify suspects from grainy CCTV images
  • In courtrooms it’s offering advice to judges about whether to grant bail conditions to criminal suspects
  • Machines with the capability to identify images are helping doctors spot disease.
  • Algorithms that use machine learning – one of the leading branches of AI – are helping self-driving cars to navigate our complex roads
  • They are helping linguists to decifer lost languages
  • And it is helping firms make decisions about who to hire and fire
  • Even on flights, AI is being used by air traffic controllers to help to keep us safe both in the air and on the ground.

Yet there are also deep ethical questions about how and when AI should be used. And whether the hype surrounding this technology outstrips what is really achievable.

Over the next four months, BBC Future is going to explore the technologies and trends at the cutting-edge of AI, sorting the hype from where it has real-world promise. We will probe the profound implications of letting these silicon brains into our lives and how it will shape our relationships, our work and our societies.

One of the early pioneers of computer science Alan Perlis once quipped that “a year spent in artificial intelligence is enough to make one believe in God,” out of frustration at the problems of producing computer networks that could mimic the human brain. Is the prospect of creating machines that could possibly hope to compete with our brains still out of reach? Or are they now able to do the things humans can only dream of?

What is AI really capable of? How can it help us solve our problems? And how should we feel about this future?

Join us on our journey through the research, applications and future of AI.

 

By Richard Gray

19 November 2018

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“Qué es y qué no es”: el sueño de René Descartes que revolucionó las matemáticas

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“Qué es y qué no es”: el sueño de René Descartes que revolucionó las matemáticas

El poder de las matemáticas reside en la forma en que su lenguaje y sus símbolos nos han permitido manipular el mundo.

Pero durante siglos fue un mundo que seguía las reglas de Dios y la Iglesia.

En el siglo XVII, emergió una nueva generación de intelectuales que no temía desafiar a la autoridad.

Hubo un hombre que se atrevió a cuestionar todas las suposiciones filosóficas y científicas anteriores.

Se trataba de alguien que intentaba promover una nueva forma de pensar, utilizando la razón, la experimentación y la observación.

Era un francés llamado René Descartes.

Grabado de René Descartes escribiendo su sistema mundial por DesfontainesDerechos de autor de la imagenHISTORICAL PICTURE ARCHIVE / GETTY
Image captionEs considerado como el padre de la geometría analítica y de la filosofía moderna, así como uno de precursores de la revolución científica.​

Nació en 1596 en Francia y murió en 1650. Entre esos años fue un mercenario en el ejército de los Estados Holandeses Protestantes, un viajero, un estudiante, un matemático y un filósofo.

A los 22 años

Una noche de 1619, mientras dormía, Descartes tuvo una serie de sueños que cambiarían su vida y las matemáticas.

Los dos primeros podrían describirse mejor como pesadillas.

Pero el tercer sueño… era intrigante.

René DescartesDerechos de autor de la imagenGETTY IMAGES
Image captionJoven y soñador.

Cuando sus ojos escudriñaron la habitación, vio libros sobre la mesa del dormitorio que aparecían y luego desaparecían.

Abrió un libro de poemas y al azar vio la primera línea de uno, que decía en latín: “Quod vitae sectabor iter?“: “¿Qué camino seguiré en la vida?

Entonces alguien apareció de la nada y recitó otro verso, simplemente diciendo: “Est et non“: “Qué es y qué no es

Libro de Renato des CartesDerechos de autor de la imagenSCIENCE PHOTO LIBRARY
Image captionHay sueños que cambian el mundo.

Con los sueños, todo depende de la interpretación que les asignas. En el caso de Descartes, el efecto fue profundo.

Quedó convencido de que apuntaban en una sola dirección: había que establecer una ciencia que abarcara toda la sabiduría humana basándose en la razón.

Tras esa noche de poco descanso, Descartes formularía la geometría analítica y la idea de aplicar el método matemático a la filosofía.

Est et non

La pregunta “Qué es y qué no es” le abrió los ojos a la verdadera naturaleza de la realidad.

Desde ese momento, Descartes cuestionó todo lo que veía, tratando de separar lo verdadero de lo falso.

Partiendo de la pregunta “¿Hay algo que yo sepa de lo que esté seguro?“.

Sabía que no podía confiar en ninguna evidencia basada en sus sentidos, pues estos a veces lo engañaban: una vara derecha parece torcida si la mentes en un vaso de agua.

Rosas en florero de vidrio con agua.Derechos de autor de la imagenGETTY IMAGES
Image captionSi confiáramos en lo que vemos, creeríamos que los tallos de las flores se parten al entrar al agua y se vuelven a unir cuando las sacamos del florero.

Y a veces, cuando estaba dormido, soñaba que se había despertado… ¿Cómo podía estar seguro de que no estaba soñando en momentos en que se creía despierto?

Aunque había verdades como que 2 + 5 = 7, hasta en los sueños.

No obstante, ni siquiera él -un matemático- podía afirmar certeza absoluta, pues ¿qué tal que un demonio malvado estuviera controlando sus pensamientos, manipulándolos de manera que cada vez que sumara, cometiera un error básico?

De ser así, no podría estar seguro de nada. Viviría en un torbellino de dudas.

Descartes en su sueño

Su salvación fue darse cuenta que incluso si ese demonio existiera, no podría engañarlo respecto a su propia existencia.

Enseguida advertí que mientras de este modo quería pensar que todo era falso, era necesario que yo, quien lo pensaba, fuese algo“, escribió.

Y notando que esta verdad: yo pienso, por lo tanto soy, era tan firme y cierta, que no podían quebrantarla ni las más extravagantes suposiciones de los escépticos, juzgué que podía admitirla, sin escrúpulo, como el primer principio de la filosofía que estaba buscando“.

Cada pensamiento, no importa cuán poco fiable, comprobaba que él existía como un ente pensante.

Ese es su famoso argumento: “Yo pienso, por lo tanto soy” -traducido frecuentemente como “Pienso luego existo”-, que pasó a ser fundamental para el racionalismo occidental como “Cogito ergo sum“.

El pensador de RodinDerechos de autor de la imagenGETTY IMAGES
Image captionEl más bello de los pensadores que por ende existe.

Quod vitae sectabor iter?

La pregunta “¿Qué camino vas a seguir en tu vida?” es, por supuesto, profunda y difícil de contestar, particularmente cuando tienes 22 años, como Descartes esa noche que la vio en sueños.

Pero si la bajas un poco a Tierra y te la haces respecto a actividades cotidianas, quizás te sorprenda que fue la genialidad de Descartes quien hizo que encontrar la respuesta fuera sencillo.

Y de paso, llevó a uno de los mayores avances en el campo de las matemáticas.

Como con tantas ideas brillantes, era engañosamente simple.

Dicen que Descartes llegó a ella un día que estaba mirando al techo y vio una mosca.

MoscaDerechos de autor de la imagenGETTY IMAGES
Image captionPartió de una mosca para construir un puente.

Pero supongamos que vas a tomarte un café con un amigo.

Para averiguar cómo llegar al lugar en el que van a encontrarse, sólo necesitas mirar un mapa y verificar la ruta.

¿Quizás 3 cuadras a la derecha y una a la izquierda?

Parece una idea increíblemente simple, pero, en realidad, revolucionó las matemáticas.

Lo que Descartes demostró fue que un par de números podían determinar la posición de un punto en el espacio.

Cada par de coordenadas especifica un punto único y cada punto viene con un par único de coordenadas.

GPSDerechos de autor de la imagenGETTY IMAGES
Image captionGracias a René Descartes.

Suena trivial, pero esto fue solo el comienzo. Se vuelve más interesante cuando aplicas esa idea a las curvas.

A medida que este punto se mueve alrededor de un círculo, sus coordenadas cambian, y podemos escribir una ecuación que caracteriza este círculo de manera precisa y única.

Por primera vez, las formas podrían ser descritas por una fórmula.

Al unir el lenguaje de los números, ecuaciones y símbolos con formas, Descartes construyó un puente entre la geometría y el álgebra: la geometría analítica.

Así pudo expandir el horizonte de las matemáticas, sentando las bases para el mundo científico moderno.

Una razón menos divina

Lo que Descartes y los otros pioneros como él hicieron fue cuestionar la sabiduría aceptada de la época.

Pensaron de manera diferente, y el resultado fue que proporcionaron avances monumentales para nuestra comprensión del Universo.

René DescartesDerechos de autor de la imagenGETTY IMAGES
Image caption“Para investigar la verdad es preciso dudar, en cuanto sea posible, de todas las cosas”, es una de las numerosas citas del gran pensador que han hecho eco a lo largo de los siglos y ahora se pasean por internet.

Descartes vivió en una época en que muchos filósofos respaldaban sus argumentos con llamamientos a Dios.

Él prefirió depositar su confianza en el poder de la lógica humana y las matemáticas.

Creía que todas las ideas deberían tener sus fundamentos en la experiencia y la razón en lugar de la tradición y la autoridad.

No se trataba de negar la existencia de Dios: para él, la búsqueda de la verdad era la búsqueda de Dios, y las verdades eternas -como las matemáticas- provenían y dependían de él.

Pero después de Descartes, el de las matemáticas empezó a ser un mundo cada vez más desprovisto de una influencia divina.

 

Prepare for a flood of brand-new exoplanets: TESS has currently spotted 2

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Prepare for a flood of brand-new exoplanets: TESS has currently spotted 2

NASA’s follower to the Kepler objective, the Transiting Exoplanet Study Satellite (TESS), is currently paying dividends. The satellite was just introduced in April and hung around going through commissioning and calibration. However it has actually now begun its science objective, and scientists have actually currently found 2 brand-new worlds.

These are anticipated to be the very first of as numerous as 10,000 worlds found by TESS. So we believed this was a great chance to take a cautious take a look at the world hunter’s style, the objectives that notified the style, and exactly what its success ought to suggest for our understanding of exoplanets.

4 eyes

The body of TESS is quite easy, being made up mainly of a fuel tank and thrusters. It hasresponse wheels for great control of its orientation and a set of photovoltaic panels for power. Business end of TESS includes a sun guard securing not one however 4 telescopes. Rather of having the ability to concentrate on faint items, the telescopes (each a stack of 7 lenses above CCD imaging hardware) are developed to record a broad spot of the sky.

TESS images a single location for approximately a month prior to proceeding to the next. Throughout a year, this will permit it to record the majority of the sky in a single hemisphere; it will change to the other hemisphere for its 2nd year of observations. Ought to the hardware still be functional at the two-year mark, it will have imaged the majority of the sky, and a comparable cycle will likely begin once again.

This cadence produces some trade offs. If a world’s orbit is such that it does not pass in front of its star throughout the month TESS takes place to be pointing that method, we’ll miss it (unless it belongs to the little overlap in between different locations). This will predisposition us towards discovering worlds with brief orbital durations, where a transit is ensured to take place whenever TESS navigates to pointing at it. Brief sufficient orbits suggest we can observe numerous transits throughout that month, validating the world’s presence without the requirement for follow-on observations.

The advantage is that we get the whole sky and really broad field of visions throughout each of those months. As an outcome, quotes are that TESS will discover 3 to 4 times as numerous worlds as Kepler did throughout its objective.

While TESS’ hardware was developed to get brighter stars comparable in size to the Sun, it’s delicate to light on the redder end of the spectrum. This will permit it to image reasonably neighboring dwarf stars, which has a variety of clinical benefits. For one, these are the most typical stars in our galaxy, so this is a great deal of targets. Their smaller sized size indicates that worlds occlude a reasonably bigger portion of the light from the star, making them much easier to identify. Lastly, the lower output of dwarf stars indicates that the habitable zone (where liquid water is possible) is closer to the star. Being closer to the star indicates a much shorter orbital duration, so worlds in the habitable zone might make more than one orbit within a month, making them much easier to identify.

The imaging hardware can take a picture of the field of vision every 2 seconds, however there’s inadequate on-board storage to support continuously recording images at that rate, and the bandwidth requirements for sending out images back to Earth are too high. Rather, a half an hour of pictures of the complete field of vision are integrated to minimize sound and little, random variations; these are kept on board and sent at one time.

In addition, a range of stars were picked for a more in-depth appearance, with balancing at two-minute periods. In this case, the staying pixels are cropped away, leaving a little field including little bit more than the star, which assists produce more compact information. Stars picked for this treatment are reasonably brilliant or neighboring, enabling simple follow-up with ground-based observations, and are likewise simple to separate from background items that might hinder observations.

It works

Exoplanet scientists have actually set requirements for discovery that do not accept a single dimming of a star as an indication of the presence of a world, as a lot of unusual occasions might trigger this type of dimming. If the world is discovered by transits alone, then we need to see numerous dimmings at periods that show a constant orbit. Stopping working that, there needs to be some other methods of validating the exoplanet’s presence, such as its gravitational impact on its host star or other worlds orbiting the exact same star.

TESS hasn’t been working enough time to record numerous orbits of private worlds. However easily, in a minimum of 2 cases, we currently had extra observations being in information that had not been completely examined. As an outcome, the TESS group has actually currently prepared 2 documents on brand-new worlds it has actually observed.

Among the 2 brand-new discoveries is at π Mensae, about 60 light years from Earth. We currently understood there was one world there, a huge super-Jupiter in an eccentric orbit that takes 6 years to finish. TESS has now spotted π Mensae c, a super-Earth that orbits every 6.25 days. Its close-in orbit most likely safeguards it from gravitational interactions with the huge world we currently learnt about.

Easily, π Mensae had actually currently been imaged with a HARPS telescope, which determines modifications in the star’s light as the star is yanked around its neighboring worlds. When examined, the extra information verified the presence of π Mensae c and suggests that it has about 4.8 times the mass of Earth. Integrated with the TESS information, which suggests that the world is 2.1 times the radius of Earth, we discover ourselves able to compute its density. This winds up resembling that of distilled water. It’s more possible that it’s an ocean world with a rocky core and an environment including water vapor and possibly other lighter gases.

We now likewise understand that there’s another world about 50 light years away– this one orbiting the M dwarf star LHS3844 This one is just a little bigger than Earth and orbits so close that it finishes a complete orbit in just 11 hours That would make it a scorching 800 Kelvin, and even hotter than Venus. Its existence was verified by other observations of the star made throughout previous studies that covered the area.

What next?

To a particular degree, we do not have to send out something as much as area to discover brand-new exoplanets merely to broaden the brochure. There are lots of ground-based instruments that are doing so, and the existing brochure of approximately 3,500 exoplanets offers us with a great viewpoint on how typical worlds in various size classes are. TESS’ observation cadence likewise indicates we’ll miss out on any worlds that do not take place to pass in front of their star throughout its one-month window. That indicates TESS will not do much to fill out among the most significant staying spaces in our understanding: the frequency of worlds that orbit at an Earth-like range or beyond.

A diagram of how TESS will slice up the sky.
Enlarge

/ A diagram of how TESS will slice the sky.

So why is TESS in area and not a ground-bound experiment? You can consider it as a financial investment in the future.

While Kepler offered us a sense of the size of common worlds, we do not have an excellent sense of their structure. Even when radial speed measurements provide us their total density, there are normally numerous services suitable with that worth. To utilize the example of π Mensae above, the size of any rocky core that works with its density will be straight associated to the size of its environment in addition to the gases that comprise it.

Environments are vital in an extra method. While we frequently discuss a habitable zone based upon the light output of the host star, real habitability will be incredibly conscious the greenhouse gas structure of a world’s environment. To paraphrase one scientist in the field, if you fine-tune the environment’s structure, you might take a world in the habitable zone and turn it into a frozen wasteland, a scorching hellscape, or anything between.

Luckily, this is something we can study, although it is challenging. Each time a world passes in front of its host star, a small portion of the light it sends our method travels through the world’s environment initially, where it communicates with the gases present there. These gases can leave finger prints in the light that reaches us, and, by imaging enough transits, these finger prints can be checked out in spite of their little contribution to the total light. The exact range at which this works depends upon the quality of the telescope, the brightness of the star, and the size of the environment, however it is possible for stars reasonably near to Earth.

Exactly what we ‘d like is the equivalent of the Kepler objective for planetary environments– something that will provide us a much better sense of how typical environments are and if there are any common collections of particles we ‘d discover in them. Sadly, that’s not actually possible. Kepler was a study telescope that discovered the worlds however didn’t have the resolution to image their environments. That’s not Kepler’s fault; the 2 jobs are rather inconsistent, as noticing the environment needs high-resolution imaging, while discovering the worlds works finest at low resolution.

TESS can be considered the very first half of a Kepler-like program. It will assist discover a great deal of worlds, consisting of a couple of that might be close enough to be imaged by existing hardware. However it’s mainly preparing for the huge telescopes that are presently under building, in addition to the James Webb Area Telescope, which continues to inch towards launch These will considerably broaden our connect into the galaxy, significantly increasing the range at which we can image planetary environments. (Keep in mind, the volume of area where imaging is possible boosts with the cube of the imaging radius.)

To put this in viewpoint, you can consider Kepler as the exploratory stage of a possible job, the one that addressed the concern of whether exoplanets prevail enough to pursue this. TESS is the next stage, recognizing exoplanets that are within the variety of our existing or near-future innovation. The benefit will be a years from now, when we can state some concrete features of exoplanet environments and exactly what we’ll discover the possibility of life on them.

The arXiv. Abstract number: 180907242180905967( About the arXiv).

Correction: Celsius/Kelvin screwup.

The State of Food Security and Nutrition in the World 2018: Building climate resilience for food security and nutrition

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11 September 2018, Rome – New evidence continues to signal that the number of hungry people in the world is growing, reaching 821 million in 2017 or one in every nine people, according to The State of Food Security and Nutrition in the World 2018 released today. Limited progress is also being made in addressing the multiple forms of malnutrition, ranging from child stunting to adult obesity, putting the health of hundreds of millions of people at risk.

Hunger has been on the rise over the past three years, returning to levels from a decade ago. This reversal in progress sends a clear warning that more must be done and urgently if the Sustainable Development Goal of Zero Hunger is to be achieved by 2030.

The situation is worsening in South America and most regions of Africa, while the decreasing trend in undernourishment that characterized Asia seems to be slowing down significantly.

The annual UN report found that climate variability affecting rainfall patterns and agricultural seasons, and climate extremes such as droughts and floods, are among the key drivers behind the rise in hunger, together with conflict and economic slowdowns.

“The alarming signs of increasing food insecurity and high levels of different forms of malnutrition are a clear warning that there is considerable work to be done to make sure we ‘leave no one behind’ on the road towards achieving the SDG goals on food security and improved nutrition,” the heads of the UN Food and Agriculture Organization (FAO), the International Fund for Agricultural Development (IFAD), the UN Children’s Fund (UNICEF), the World Food Programme (WFP) and the World Health Organization (WHO) warned in their joint foreword to the report.

“If we are to achieve a world without hunger and malnutrition in all its forms by 2030, it is imperative that we accelerate and scale up actions to strengthen the resilience and adaptive capacity of food systems and people’s livelihoods in response to climate variability and extremes,” the leaders said.

The impact of climate variability and extremes on hunger

Changes in climate are already undermining production of major crops such as wheat, rice and maize in tropical and temperate regions and, without building climate resilience, this is expected to worsen as temperatures increase and become more extreme.

Analysis in the report shows that the prevalence and number of undernourished people tend to be higher in countries highly exposed to climate extremes. Undernourishment is higher again when exposure to climate extremes is compounded by a high proportion of the population depending on agricultural systems that are highly sensitive to rainfall and temperature variability.

Temperature anomalies over agricultural cropping areas continued to be higher than the long-term mean throughout 2011–2016, leading to more frequent spells of extreme heat in the last five years. The nature of rainfall seasons is also changing, such as the late or early start of rainy seasons and the unequal distribution of rainfall within a season.

The harm to agricultural production contributes to shortfalls in food availability, with knock-on effects causing food price hikes and income losses that reduce people’s access to food.

Slow progress on ending all forms of malnutrition

Poor progress has been made in reducing child stunting, the report says, with nearly 151 million children aged under five too short for their age due to malnutrition in 2017, compared to 165 million in 2012. Globally, Africa and Asia accounted for 39 percent and 55 percent of all stunted children, respectively.

Prevalence of child wasting remains extremely high in Asia where almost one in 10 children under five has low weight for their height, compared to just one in 100 in Latin America and the Caribbean.

The report describes as “shameful” the fact that one in three women of reproductive age globally is affected by anaemia, which has significant health and development consequences for both women and their children. No region has shown a decline in anaemia among women of reproductive age, and the prevalence in Africa and Asia is nearly three times higher than in North America.

Rates of exclusive breastfeeding in Africa and Asia are 1.5 times higher than those in North America where only 26 percent of infants under six months receive breastmilk exclusively.

The other side of hunger: obesity on the rise

Adult obesity is worsening, and more than one in eight adults in the world is obese. The problem is most significant in North America, but Africa and Asia are also experiencing an upward trend, the report shows.

Undernutrition and obesity coexist in many countries, and can even be seen side by side in the same household. Poor access to nutritious food due to its higher cost, the stress of living with food insecurity, and physiological adaptations to food deprivation help explain why food-insecure families may have a higher risk of overweight and obesity.

Call for action

The report calls for implementing and scaling up interventions aimed at guaranteeing access to nutritious foods and breaking the intergenerational cycle of malnutrition. Policies must pay special attention to groups who are the most vulnerable to the harmful consequences of poor food access: infants, children aged under five, school-aged children, adolescent girls, and women.

At the same time, a sustainable shift must be made towards nutrition-sensitive agriculture and food systems that can provide safe and high-quality food for all.

The report also calls for greater efforts to build climate resilience through policies that promote climate change adaptation and mitigation, and disaster risk reduction.

Key facts and figures

  • Number of hungry people in the world in 2017: 821 million or 1 in every 9 people
    • in Asia: 515 million
    • in Africa: 256.5 million
    • in Latin America and the Caribbean: 39 million
  • Children under 5 affected by stunting (low height-for-age): 150.8 million (22.2%)
  • Children under 5 affected by wasting (low weight-for-height): 50.5 million (7.5%)
  • Children under 5 who are overweight (high weight-for-height): 38.3 million (5.6%)
  • Percentage of women of reproductive age affected by anaemia: 32.8%
  • Percentage of infants aged below 6 months who were exclusively breastfed: 40.7%
  • Adults who are obese: 672 million (13% or 1 in 8 adults)

Note to editors
The heads of agencies issuing today’s report are: José Graziano da Silva, Director-General of FAO; Gilbert F. Houngbo, President of IFAD; Henrietta H. Fore, Executive Director of UNICEF; David Beasley, Executive Director of WFP; and Tedros Adhanom Ghebreyesus, Director-General of WHO.

The report is part of tracking progress towards Sustainable Development Goal 2-Zero Hunger, which aims to end hunger, promote food security and end all forms of malnutrition by 2030. The report also tracks progress on six of the seven World Health Assembly global nutrition targets.

Last year’s report observed that three factors are behind the recent rise in hunger: conflict, climate and economic slowdowns, and provided an in-depth study of the role of conflict. This year’s report focuses on the role of climate variability and extremes to explain the observed trends in food security. The attribution of climate variations and extremes to climate change is beyond the scope of this report.

ENDS

Contacts

FAO
Zoie Jones
+39 06 570 56309 (Rome)
+39 331 431 0003
Zoie.Jones@FAO.org

IFAD
Katie Taft
+39 334 608 3657 (Rome)
k.taft@ifad.org

UNICEF
Sabrina Sidhu
+1 9174761537 (New York)
ssidhu@unicef.org

WFP
Frances Kennedy
+39 346 7600806 (Rome)
Frances.Kennedy@wfp.org

WHO
Fadela Chaib
+41 22 791 3228 (Geneva)
+41 79 475 5556
chaibf@who.int